You’ve probably already started your Data Science journey by now, and have implemented your first Linear Regression model. Great, but how do you know your model is good? How good it is? How good it is...
K-Nearest Neighbors is a double-edged algorithm that can be used for both Classification and Regression problems. While its intuition is quite simple, it can yield impressive results, but there are a few drawbacks, hence double-edged.
Logistic Regression is one of the most basic ML algorithms. While it is a basic algorithm it isn’t always included in ML courses because of its weaknesses.